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falsifyr  

Adversarial Robustness Attacks for Statistical Claims
View on CRAN: Click here


Download and install falsifyr package within the R console
Install from CRAN:
install.packages("falsifyr")

Install from Github:
library("remotes")
install_github("cran/falsifyr")

Install by package version:
library("remotes")
install_version("falsifyr", "1.0.0")



Attach the package and use:
library("falsifyr")
Maintained by
Markuss Saule
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-07
Latest Update: 2026-08-07
Description:
Attacks fitted R model claims by searching for small plausible perturbations that make a target result disappear. The package focuses on claim-level fragility, smallest-kill reporting, and reproducible caveated robustness checks for ordinary fitted model objects. The methods draw on the fragility-index concept of Walsh et al. (2014) <doi:10.1016/j.jclinepi.2013.10.019>, multiverse analysis of Steegen et al. (2016) <doi:10.1177/1745691616658637>, specification-curve analysis of Simonsohn et al. (2020) <doi:10.1038/s41562-020-0912-z>, and robust covariance estimation of Zeileis (2004) <doi:10.18637/jss.v011.i10>.
How to cite:
Markuss Saule (2026). falsifyr: Adversarial Robustness Attacks for Statistical Claims. R package version 1.0.0, https://cran.r-project.org/web/packages/falsifyr. Accessed 24 Oct. 2026.
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